Zumel, Nina
Practical data science with R / Nina Zumel, John Mount. - New Delhi : Dreamtech Press, 2014. - xxv, 389 p. ; 24 cm.
Formerly CIP.
Includes bibliographical references (pages 375-376) and index.
Part 1. Introduction to data science: The data science process
Loading data into R
Exploring data
Managing data
Part 2. Modelling methods: Choosing and evaluating models
Memorization methods
Linear and logistic regression
Unsupervised methods
Exploring advanced methods
Part 3. Delivering results: Documentation and deployment
Producing effective presentations.
9789351194378 (pbk.)
Mathematical statistics -- Data processing.
R (Computer program language)
Data mining.
005.74 ZUM
Practical data science with R / Nina Zumel, John Mount. - New Delhi : Dreamtech Press, 2014. - xxv, 389 p. ; 24 cm.
Formerly CIP.
Includes bibliographical references (pages 375-376) and index.
Part 1. Introduction to data science: The data science process
Loading data into R
Exploring data
Managing data
Part 2. Modelling methods: Choosing and evaluating models
Memorization methods
Linear and logistic regression
Unsupervised methods
Exploring advanced methods
Part 3. Delivering results: Documentation and deployment
Producing effective presentations.
9789351194378 (pbk.)
Mathematical statistics -- Data processing.
R (Computer program language)
Data mining.
005.74 ZUM
